Fabio
c36510c21e
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58 lines
1.8 KiB
C++
58 lines
1.8 KiB
C++
#pragma once
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#include "engine/framework/core/attention_fallback.h"
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#include "engine/framework/core/execution_context.h"
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/framework/runtime/session.h"
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#include "engine/models/breeze_tts/assets.h"
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#include "engine/models/breeze_tts/speech_decoder.h"
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#include <cstddef>
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#include <memory>
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#include <vector>
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namespace engine::core {
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class ConstantTensorCache;
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}
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namespace engine::models {
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namespace breeze_tts {
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struct BreezeSpeechEncoderWeights;
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class BreezeSpeechEncoderConvGraph;
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class BreezeSpeechEncoderTransformerGraph;
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struct BreezeSpeechEncoderOutput {
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BreezeSpeechCodes codes;
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std::vector<float> semantic_projected;
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std::vector<float> acoustic_projected;
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};
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class BreezeSpeechEncoderRuntime {
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public:
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BreezeSpeechEncoderRuntime(
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std::shared_ptr<const BreezeTTSAssets> assets,
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core::ExecutionContext & execution_context,
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size_t graph_arena_bytes,
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engine::assets::TensorStorageType linear_weight_storage_type,
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engine::assets::TensorStorageType conv_weight_storage_type,
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core::AttentionPreference attention_preference = core::AttentionPreference::Auto);
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~BreezeSpeechEncoderRuntime();
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BreezeSpeechCodes encode(const runtime::AudioBuffer & audio) const;
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void release_runtime_graphs() const;
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private:
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std::shared_ptr<const BreezeTTSAssets> assets_;
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std::shared_ptr<const BreezeSpeechEncoderWeights> weights_;
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core::ExecutionContext * execution_context_ = nullptr;
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size_t graph_arena_bytes_ = 0;
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bool allow_flash_attention_ = true;
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std::unique_ptr<core::ConstantTensorCache> constants_;
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mutable std::unique_ptr<BreezeSpeechEncoderConvGraph> conv_graph_;
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mutable std::unique_ptr<BreezeSpeechEncoderTransformerGraph> transformer_graph_;
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};
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} // namespace breeze_tts
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} // namespace engine::models
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